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      • Novel AutomaticWorkpiece Surface Defects Detection System

        Wenkai Xin,Wei Liu,Kun Yan 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11

        An automatic workpiece surface defect detection system based on machine vision is proposed. In order to solve the difficulty of detecting surface defects of irregular workpieces, the system adopts seven shooting stations to collect pictures of workpieces from different angles. Then the pictures of each station are processed at the same time. Advanced image processing algorithms are proposed to detect defects on highly reflective metal surfaces. Finally, the processing results of all stations are combined together to determine whether the workpieces are qualified or not. Tested in real industrial environments, our proposed system achieves a detection accuracy of 99.7%. On average one hundred workpieces can be inspected per minute.

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        A Hierarchical Bilateral-Diffusion Architecture for Color Image Encryption

        Menglong Wu,Yan Li,Wenkai Liu 한국정보처리학회 2022 Journal of information processing systems Vol.18 No.1

        During the last decade, the security of digital images has received considerable attention in various multimediatransmission schemes. However, many current cryptosystems tend to adopt a single-layer permutation ordiffusion algorithm, resulting in inadequate security. A hierarchical bilateral diffusion architecture for colorimage encryption is proposed in response to this issue, based on a hyperchaotic system and DNA sequenceoperation. Primarily, two hyperchaotic systems are adopted and combined with cipher matrixes generationalgorithm to overcome exhaustive attacks. Further, the proposed architecture involves designing pixelpermutation,pixel-diffusion, and DNA (deoxyribonucleic acid) based block-diffusion algorithm, consideringsystem security and transmission efficiency. The pixel-permutation aims to reduce the correlation of adjacentpixels and provide excellent initial conditions for subsequent diffusion procedures, while the diffusionarchitecture confuses the image matrix in a bilateral direction with ultra-low power consumption. The proposedsystem achieves preferable number of pixel change rate (NPCR) and unified average changing intensity (UACI)of 99.61% and 33.46%, and a lower encryption time of 3.30 seconds, which performs better than some currentimage encryption algorithms. The simulated results and security analysis demonstrate that the proposedmechanism can resist various potential attacks with comparatively low computational time consumption.

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        The effects of a summer reading program for migrant children in migrant schools: First-year results from a randomized experiment

        Qian Guo,Young-Suk Grace Kim,Yan Liu,Yan Peng,WENKAI SUN,Yijie Wang,Li Yang 서울대학교 교육연구소 2021 Asia Pacific Education Review Vol.22 No.1

        Thanks to urbanization, some developing countries have a large migrant population. Academic performance of migrant children is usually far from satisfactory, much to the concern of educators and legislators. Meanwhile, research has attested to the importance of reading skill development by the end of third grade for later academic achievement. Against this background, we evaluated the effects of providing self-selected, developmentally appropriate books on the reading performance and summer reading amount of students in migrant schools in China, employing a randomized controlled trial. The intervention program improved rising second-graders’ word reading scores and summer reading amount. It proved particularly beneficial to low-performing children and children from disadvantaged families. The findings have implications for improving the academic achievement of migrant children in migrant schools in China and similar developing countries, especially where parental support may not be expected for the academic development of children.

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        H2 Metabolism revealed by metagenomic analysis of subglacial sediment from East Antarctica

        Zhifeng Yang,Yu Zhang,Yongxin Lv,Wenkai Yan,Xiang Xiao,Bo Sun,Hongmei Ma 한국미생물학회 2019 The journal of microbiology Vol.57 No.12

        Subglacial ecosystems harbor diverse chemoautotrophic microbial communities in areas with limited organic carbon, and lithological H2 produced during glacial erosion has been considered an important energy source in these ecosystems. To verify the H2-utilizing potential there and to identify the related energy-converting metabolic mechanisms of these communities, we performed metagenomic analysis on subglacial sediment samples from East Antarctica with and without H2 supplementation. Genes coding for several [NiFe]- hydrogenases were identified in raw sediment and were enriched after H2 incubation. All genes in the dissimilatory nitrate reduction and denitrification pathways were detected in the subglacial community, and the genes coding for these pathways became enriched after H2 was supplied. Similarly, genes transcribing key enzymes in the Calvin cycle were detected in raw sediment and were also enriched. Moreover, key genes involved in H2 oxidization, nitrate reduction, oxidative phosphorylation, and the Calvin cycle were identified within one metagenome-assembled genome belonging to a Polaromonas sp. As suggested by our results, the microbial community in the subglacial environment we investigated consisted of chemoautotrophic populations supported by H2 oxidation. These results further confirm the importance of H2 in the cryosphere.

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